J. Joudaki
Department of Mechanical Engineering/ Arak University of Technology
[ 1 ] - Prediction of Bending Angle for Laser Forming of Tailor Machined Blanks by Neural Network
Tailor-made blanks are sheet metal assemblies with different thicknesses and/or materials and/or surface coatings. A monolithic sheet can be machined to make the required thickness variations that is referred as tailor machined blanks. Due to the thickness variation in tailor machined blanks, laser bending of these blanks is more complicated than monolithic plates. In this article, laser formin...
[ 2 ] - تحلیل عددی و تجربی نفوذ گلوله زرهی در اهداف فولادی فوق مستحکم
در این مقاله به بررسی نفوذ گلوله کالیبر 5/14میلی متری در ورق‌های فولادی فوق مستحکم هارداکس 450 و هارداکس 500 با ضخامت 30 میلی‌متر پرداخته می‌شود. با توجه به پیچیدگی پدیده برخورد، به منظور شبیه‌سازی دقیق فرآیند و بیان رفتار دقیق مکانیکی مواد از مدل پلاستیسیته و شکست جانسون-کوک و معادله حالت مای-گرونایزن استفاده شده است. برای تایید صحت شبیه‌سازی های انجام شده، اندازه‌گیری تجربی بر روی ورق‌های فول...
[ 3 ] - بررسی عددی و تجربی یکپارچگی سازه بدنه خودروی زرهی در بارگذاری انفجاری
یکی از تهدیدات مهم برای سازه بدنه خودروهای زرهی، بارگذاری انفجاری می باشد. در این مقاله به مطالعه تغییر شکل بدنه خودروی زرهی تحت بارگذاری انفجاری با استفاده از مدل‌سازی اجزای محدود پرداخته خواهد شد و نتایج با کمک آزمایش‌های تجربی مورد بررسی قرار خواهد گرفت. بدین منظور در ابتدا با استفاده از مدل‌سازی اجزای محدود اثر موج انفجار حاصل از 10 کیلوگرم تی‌ان‌تی در فاصله 97 سانتی‌متری از کف خودروی زرهی ...
[ 4 ] - Ovality and Bow Defect of Pre-punched Sheets in Roll Forming of Trapezoidal Sections
Roll forming process is used for manufacturing sheet metal parts by successive bending and creating the final shape with gradual deformation. In this article, deformation of a pre-punched sheet due to the roll forming process was studied. Two main defects in the roll forming process are ovality of holes and bow defect. The ovality of the hole is influenced by the process parameters including sh...
[ 5 ] - Coupled Eulerian-Lagrangian (CEL) Modeling of Material Flow in Dissimilar Friction Stir Welding of Aluminum Alloys
In this work, the finite element simulation of dissimilar friction stir welding process is investigated. The welded materials are AA 6061-T6 and AA 7075-T6 aluminum alloys. For this purpose, a 3D coupled thermo-mechanical finite element model is developed according to the Coupled Eulerian-Lagrangian (CEL) method. The CEL method has the advantages of both Lagrangian and Eulerian approaches, whic...
[ 6 ] - A Comprehensive Study of the Hydroforming Process of Metallic Bellows: Investigation and Multi-objective Optimization of the Process Parameters
In this paper, for the first time, a comprehensive experimental study is performed on hydroforming process of metallic bellows. For this purpose, the effects of the main process parameters and their interactions on the characteristics of hydroformed metallic bellows are investigated using Response Surface Methodology (RSM). The selected parameters as input variables are internal pressure, die s...
[ 7 ] - Fabrication of Saddle-Shaped Surfaces by Flame Forming Process
The flame forming process is widely used to manufacture ship hull plates. The saddle-shaped surfaces have different curvatures in perpendicular angles of planes and the manufacturers face an anti-clastic curvature. In this article, the manufacturing of saddle-shaped surfaces utilizing the flame forming process is investigated. The spiral irradiating scheme is used for forming. In order to study...
[ 8 ] - Prediction of Weld Strength in Resistance Spot Welded Samples by Adaptive Neuro-Fuzzy Inference System (ANFIS)
Resistance Spot Welding (RSW) is one of the effective manufacturing processes used widely for joining sheet metals. Prediction of weld strength of welded samples has great importance in manufacturing and different methods are used by researchers to find the fracture force. In this article, the Adaptive Neuro-Fuzzy Inference System (ANFIS) is utilized for prediction of joint strength in welded s...
[ 9 ] - Prediction of Weld Strength in Resistance Spot Welded Samples by Adaptive Neuro-Fuzzy Inference System (ANFIS)
Resistance Spot Welding (RSW) is one of the effective manufacturing processes used widely for joining sheet metals. Prediction of weld strength of welded samples has great importance in manufacturing and different methods are used by researchers to find the fracture force. In this article, the Adaptive Neuro-Fuzzy Inference System (ANFIS) is utilized for prediction of joint strength in welded s...
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